As a part of the Love Data Week, Olexandr Konovalov will give a talk on Tuesday 11 February, 3pm, Physics Lecture Theatre C.

Abstract: Have you been frustrated by trying to use someone else’s code which is non-trivial to install? Have you tried to make supplementary code for your paper to be easily accessible for the reader? If so, you certainly know that this may require non-trivial efforts. I will demonstrate some tools that may help to create reproducible computational experiments, and will explain which skills will be needed to use these tools. The talk will demonstrate examples in Python and R runnable in Jupyter notebooks. You are welcome to bring your laptop to try these examples online. No prior knowledge of programming is required.

Links:

• Templates for reproducible experiments in GAP, Python and R
• Code4REF guidance on recording research software in Pure

References:

• The Laser Interferometer Gravitational-Wave Observatory (LIGO) demos
• Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks PLOS Computational Biology paper by Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez and Peter W. Rose
• Hidden REF announcement